Towards global flood mapping onboard low cost satellites with machine learning
Mateo-Garcia, Gonzalo, Veitch-Michaelis, Joshua, Smith, Lewis, Oprea, Silviu Vlad, Schumann, Guy, Gal, Yarin, Baydin, Atılım Güneş, Backes, Dietmar
Published in Scientific reports (31.03.2021)
Published in Scientific reports (31.03.2021)
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Journal Article
Toward Machine Learning Optimization of Experimental Design
Baydin, Atılım Güneş, Cranmer, Kyle, Manzano, Pablo de Castro, Delaere, Christophe, Derkach, Denis, Donini, Julien, Dorigo, Tommaso, Giammanco, Andrea, Kieseler, Jan, Layer, Lukas, Louppe, Gilles, Ratnikov, Fedor, Strong, Giles C., Tosi, Mia, Ustyuzhanin, Andrey, Vischia, Pietro, Yarar, Hevjin
Published in Nuclear physics news (2021)
Published in Nuclear physics news (2021)
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A semantic network-based evolutionary algorithm for computational creativity
Baydin, Atılım Güneş, López de Mántaras, Ramon, Ontañón, Santiago
Published in Evolutionary intelligence (01.03.2015)
Published in Evolutionary intelligence (01.03.2015)
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Journal Article
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
Cobb, Adam D., Himes, Michael D., Soboczenski, Frank, Zorzan, Simone, O'Beirne, Molly D., Güne Baydin, At l m, Gal, Yarin, Domagal-Goldman, Shawn D., Arney, Giada N., Angerhausen, Daniel
Published in The Astronomical journal (01.07.2019)
Published in The Astronomical journal (01.07.2019)
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Journal Article
Managing extreme AI risks amid rapid progress
Bengio, Yoshua, Hinton, Geoffrey, Yao, Andrew, Song, Dawn, Abbeel, Pieter, Darrell, Trevor, Harari, Yuval Noah, Zhang, Ya-Qin, Xue, Lan, Shalev-Shwartz, Shai, Hadfield, Gillian, Clune, Jeff, Maharaj, Tegan, Hutter, Frank, Baydin, Atılım Güneş, McIlraith, Sheila, Gao, Qiqi, Acharya, Ashwin, Krueger, David, Dragan, Anca, Torr, Philip, Russell, Stuart, Kahneman, Daniel, Brauner, Jan, Mindermann, Sören
Published in Science (American Association for the Advancement of Science) (24.05.2024)
Published in Science (American Association for the Advancement of Science) (24.05.2024)
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Technology readiness levels for machine learning systems
Lavin, Alexander, Gilligan-Lee, Ciarán M., Visnjic, Alessya, Ganju, Siddha, Newman, Dava, Ganguly, Sujoy, Lange, Danny, Baydin, Atílím Güneş, Sharma, Amit, Gibson, Adam, Zheng, Stephan, Xing, Eric P., Mattmann, Chris, Parr, James, Gal, Yarin
Published in Nature communications (20.10.2022)
Published in Nature communications (20.10.2022)
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Journal Article
Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms
Muñoz-Jaramillo, Andrés, Jungbluth, Anna, Gitiaux, Xavier, Wright, Paul J., Shneider, Carl, Maloney, Shane A., Baydin, Atılım Güneş, Gal, Yarin, Deudon, Michel, Kalaitzis, Freddie
Published in The Astrophysical journal. Supplement series (01.04.2024)
Published in The Astrophysical journal. Supplement series (01.04.2024)
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Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-image Translation
Salvatelli, Valentina, dos Santos, Luiz F. G., Bose, Souvik, Neuberg, Brad, Cheung, Mark C. M., Janvier, Miho, Jin, Meng, Gal, Yarin, Güneş Baydin, Atilim
Published in The Astrophysical journal (01.10.2022)
Published in The Astrophysical journal (01.10.2022)
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Journal Article
Managing extreme AI risks amid rapid progress
Bengio, Yoshua, Hinton, Geoffrey, Yao, Andrew, Song, Dawn, Abbeel, Pieter, Darrell, Trevor, Yuval Noah Harari, Ya-Qin, Zhang, Xue, Lan, Shalev-Shwartz, Shai, Hadfield, Gillian, Clune, Jeff, Maharaj, Tegan, Hutter, Frank, Atılım Güneş Baydin, McIlraith, Sheila, Gao, Qiqi, Acharya, Ashwin, Krueger, David, Dragan, Anca, Torr, Philip, Russell, Stuart, Kahneman, Daniel, Brauner, Jan, Mindermann, Sören
Published in arXiv.org (22.05.2024)
Published in arXiv.org (22.05.2024)
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Journal Article
Accurate Machine-learning Atmospheric Retrieval via a Neural-network Surrogate Model for Radiative Transfer
Himes, Michael D., Harrington, Joseph, Cobb, Adam D., Güneş Baydin, Atılım, Soboczenski, Frank, O’Beirne, Molly D., Zorzan, Simone, Wright, David C., Scheffer, Zacchaeus, Domagal-Goldman, Shawn D., Arney, Giada N.
Published in The planetary science journal (01.04.2022)
Published in The planetary science journal (01.04.2022)
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Journal Article
Technology Readiness Levels for Machine Learning Systems
Lavin, Alexander, Gilligan-Lee, Ciarán M, Visnjic, Alessya, Ganju, Siddha, Newman, Dava, Atılım Güneş Baydin, Ganguly, Sujoy, Lange, Danny, Sharma, Amit, Zheng, Stephan, Xing, Eric P, Gibson, Adam, Parr, James, Mattmann, Chris, Yarin Gal
Published in arXiv.org (29.11.2021)
Published in arXiv.org (29.11.2021)
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Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning
Luiz F G dos Santos, Bose, Souvik, Salvatelli, Valentina, Neuberg, Brad, Cheung, Mark C M, Janvier, Miho, Meng, Jin, Yarin Gal, Boerner, Paul, Atılım Güneş Baydin
Published in arXiv.org (01.02.2021)
Published in arXiv.org (01.02.2021)
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Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
Atılım Güneş Baydin, Shao, Lei, Bhimji, Wahid, Heinrich, Lukas, Meadows, Lawrence, Liu, Jialin, Munk, Andreas, Naderiparizi, Saeid, Gram-Hansen, Bradley, Louppe, Gilles, Ma, Mingfei, Zhao, Xiaohui, Torr, Philip, Lee, Victor, Cranmer, Kyle, Prabhat, Wood, Frank
Published in arXiv.org (27.08.2019)
Published in arXiv.org (27.08.2019)
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An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
Cobb, Adam D, Himes, Michael D, Soboczenski, Frank, Zorzan, Simone, O'Beirne, Molly D, Atılım Güneş Baydin, Yarin Gal, Domagal-Goldman, Shawn D, Arney, Giada N, Angerhausen, Daniel
Published in arXiv.org (25.05.2019)
Published in arXiv.org (25.05.2019)
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